Real ChatGPT answer · index seedB9RyTdJ5C4YcompleteLegal · employment lawinformational

How can I accurately calculate the potential economic damages in a wrongful termination lawsuit when stock options and unvested equity are involved?

ChatGPTgpt-62 queries11/1/2026
Download run

Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How can I accurately calculate the potential economic damages in a wrongful termination lawsuit when stock options and unvested equity are involved?
2 real searches · 1 real-search pass
wrongful termination damages stock options unvested equity back pay front pay legal case law employment compensationGoogle ↗
OBSERVEDReason
EEOC back pay front pay benefits stock options employment discrimination damagesGoogle ↗
OBSERVEDConsequence

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (2)
Short factOther / navigationalComparisonConsequence50%Reason50%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
wrongful termination damages stock options unvested equity back pay front pay legal case law employment compensation Google ↗
EEOC back pay front pay benefits stock options employment discrimination damages Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
wrongful termination damages stock options unvested equity back pay front pay legal case law employment compensation
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
EEOC back pay front pay benefits stock options employment discrimination damages
OBSERVED
Google ↗
AI Mode ↗
—Consequence——1x
of 1